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Mostrando ítems 11-20 de 466
Short-Term Multinodal Load Forecasting Using a Modified General Regression Neural Network
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Logistic regression and neural network classification of seismic records
(Elsevier, 2013)
The identification of seismic records in seismically active mines is examined by considering logistic regression and neural network classification techniques. An efficient methodology is presented for applying these ...
Estimadores de frequência aplicados a sistemas elétricos de potência
(Universidade Federal de Santa MariaBREngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia Elétrica, 2013-03-08)
The frequency estimation is a problem widely studied in many fields including electric power systems. Several methods have been proposed for this purpose, and most of them perform well when the signal is not distorted by ...
Predicting body and carcass characteristics of 2 broiler chicken strains using support vector regression and neural network models
(Poultry Science Assoc Inc, 2014)
The effectiveness of artificial neural networks in modelling the nutritional ecology of a blowfly species
(2012-04-01)
The larval phase of most blowfly species is considered a critical developmental period in which intense limitation of feeding resources frequently occurs. Furthermore, such a period is characterised by complex ecological ...
The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
(Elsevier Science BvAmsterdamHolanda, 1998)
Solar radiation prediction using different techniques: model evaluation and comparison
(Pergamon-Elsevier Science Ltd., 2016-08)
Daily observations of meteorological parameters, air temperature, air pressure, relative humidity, water vapor pressure and sunshine duration hours observed at 12 stations in different climatic zones during 1961-2014 are ...
Capsule neural networks for structural damage localization and quantification using transmissibility data
(Elsevier, 2020)
One of the current challenges in structural health monitoring (SHM) is to take the most advantage
of large amounts of data to deliver accurate damage measurements and predictions. Deep Learning
methods tackle these ...
Evaluation of neural models to estimate the roughness of advanced ceramics in surface grinding
(2015-01-01)
There is an increasing trend for ceramic components to replace metal ones due to their excellent physical, chemical and mechanical properties. However, many of the characteristics that make ceramics so attractive also make ...
Predicting body and carcass characteristics of 2 broiler chicken strains using support vector regression and neural network models
(Poultry Science Assoc Inc, 2012-12-01)
As a new modeling method, support vector regression (SVR) has been regarded as the state-of-the-art technique for regression and approximation. In this study, the SVR models had been introduced and developed to predict ...